Nigeria’s AI progess will be judged by the local problems it solves, as Nigeria can adopt the latest AI tools but still fail to solve the problems that matter most to Nigerians, panellists said at “The State of AI in Nigeria”, a session at Moonshot by TechCabal on Thursday, 29 October.
The panel featured Olubunmi Okunowo, a senior programme officer at the Gates Foundation; Johnson Agogbua, founder and CEO of Kasi Cloud, a Lagos-based data-centre operator; and Dr Yetunde Anibaba, a senior lecturer and accreditation lead at Lagos Business School. Dr Olubayo Adekambi, founder and CEO of Data Scientists Network, moderated.
“We’re building AI, but there are lots of nuances that people in the field who use these tools have that we must incorporate into our building,” Okunowo said. Technical skill alone does not produce useful tools, he said; developers need people who understand the problem first-hand.
A 2024 GSMA report on AI use cases in Nigeria makes a similar point: local data, skills and infrastructure decide whether AI tools get built and used, and tools that ignore local languages and working conditions risk shutting out the people they are meant to serve.
Agogbua argued that the main thing AI should deliver in Nigeria is productivity, pointing to healthcare and agriculture as sectors where it could change how work gets done.
Building the right tool still leaves the problem of getting it to people. Anibaba said affordability and access decide whether AI reaches those who need it. She pointed to the Nigeria AI Scaling Hub, hosted at Lagos Business School and supported by the Gates Foundation, which helps AI products scale in healthcare, agriculture and education. She also called for clearer policy to speed up adoption, particularly in healthcare.
Taken together, the panel’s message was that Nigeria’s AI progress will be judged by the local problems it solves. For founders, that means working with domain experts from the start, building for the people who will use the product, and planning for cost, access and regulation before launch.
